Evidence-based treatment through data-driven insights
SyqeAir Clinical Dashboard
The clinical dashboard is an AI platform that gives nurses informed decisions on how to continue patients' treatment depending on their complete medical data and treatment plan with the SyqeAir inhaler
Before the clinical dashboard, the nursing staff would provide medical support to patients that took a lot of time because they were required to review medical documents and information provided by patients and save it in a passive database.
Then they had to analyze the patient's information each time during a conversation to give them the best treatment they needed.
Eventually, this resulted in very long follow-up calls.
What are the stakeholders' pain points and needs
Refine the company's goals
What tools the company uses and what they lack to achieve the goals
Observe and understand how the nursing staff work
Understanding how conversations with patients are conducted
Talk with patients to understand their pain points and needs
Create a patient and nurses journey map
Reaserch the market for similar tools
Nurses work in several programs simultaneously
Not everyone on the nursing staff has the same experience
No internet = No patient support
Softwares are very secured
Softwares do not work on tablets = No mobility to the nurses
Based on the research there are 2 main users:
Nurses who conduct the questioners and patients Interested in reliable and fast treatment
Beta & User feedback
After completing the detailed wireframe for the main screens, I approached the nurses, the primary users, and checked if the system was intuitive and met the requirements. Simultaneously, I checked with the rest of the stakeholders.
After several iterations, an MVP was ready, and nurses could start using the product right away.